Abstract
Most recently existing studies pay too much attention on low energy consumption or execution time for tasks with precedence constraint in heterogeneous computing systems. In most cases, system reliability is more important than other performance metrics. Energy consumption and system reliability are two conflicting objectives. In this study, we present a novel bi-objective genetic algorithm BOGA to pursuit low energy consumption and high system reliability simultaneously. The proposed BOGA can offer the users more flexibility to submit their jobs to a data center. In the comparison with excellent algorithms multi-objective heterogeneous earliest finish time MOHEFT and Multi-objective Differential Evolution MODE, BOGA is significantly better in terms of finding spread of compromise solutions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
